Intern - Data Engineer at Lilly

, , India -

Full Time

Start Date

Immediate

Expiry Date

24 Jan, 26

Salary

0.0

Posted On

26 Oct, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

SQL, Python, AWS, PySpark, Agile Development, Data Modelling, Data Integrity, Data Security, Data Privacy, Automation, Error Detection, Root Cause Analysis, System Testing, Communication Skills, Software Design, Cloud Architecture

Industry

Pharmaceutical Manufacturing

Description

At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We’re looking for people who are determined to make life better for people around the world. Data Engineer - Enterprise Data At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our 39,000 employees work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We’re looking for people who are determined to make life better for people around the globe. The Enterprise Data organization has developed an integrated and intuitive data and analytics platform. This platform enables Lilly team members to quickly ingest, transform, consume and analyze data sets in statistical environments, advanced analytics environments, and BI/visualization tools. Contributors can easily ingest, prepare, and analyze new data sets (cleanse, enhance, publish) for others to utilize. Key responsibilities include: Design, build, test and deploy high-performance and scalable data pipelines and consumption solutions in AWS adhering to modern data Lakehouse architecture. This includes all the following Optimal storage, retrieval, and processing of data. Data integrity, security, and privacy requirements and best practices Self-healing automation (error and anomaly detection, identification of root cause, and recovery) Design, build test and deploy reusable components which accelerate enterprise delivery of data. Ensure comprehensive system testing and effective resolution of defects. Ensure timely discussion around impediments and risk to supportability and delivery of pipelines. Actively participate in regular SAFe Agile framework ceremonies and activities ensuring timely and quality delivery of pipelines. Actively stay informed of industry tools and technologies and strategic applicability to development of robust data pipelines. Basic Qualifications: Bachelor’s degree in computer science, information technology, management information systems or equivalent work experience 0 - 2 years of development experience in the core tools and technologies like SQL, Python, AWS (Lambda, Glue, Step Functions, S3, Redshift, RDS, DMS, Athena, IAM Roles & Policies), PySpark used by the solution services team. 0 - 2 years of experience in Agile Development and code deployment using Github & CI-CD pipelines. Exposure or understanding in the design, data modelling, creation and management of large datasets/data models Additional Information: Strong Commitment to the Principles of Good Software Design Understanding of Cloud / Hybrid data architecture concepts Strong Written and Oral Communication Skills Ability to analyze, design, and implement components by applying best practices and coding standards Strong Commitment and Willingness to Learn Lilly is a global healthcare leader that unites caring with discovery to make life better for people around the world. For more than a century, we have stayed true to a core set of values—excellence, integrity, and respect for people—that guide us in all we do: discovering medicines that meet real needs, improving the understanding and management of disease, and giving back to communities. We also are committed to investing in our employees and supporting a culture of well-being —through competitive pay, comprehensive employee benefit programs, and training and development resources. We’re doing extraordinary things. Join us and you could be, too! Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form (https://careers.lilly.com/us/en/workplace-accommodation) for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response. Lilly does not discriminate on the basis of age, race, color, religion, gender, sexual orientation, gender identity, gender expression, national origin, protected veteran status, disability or any other legally protected status. #WeAreLilly At Lilly we strive to ensure our employees are part of a team that cares about them and our shared purpose of making life better for those around the world. How do we do this? We continue to look for ways to include, innovate, accelerate and deliver while maintaining integrity, excellence and respect for people. We hope that you seek to join us on our journey as we create medicine and deliver improved outcomes for patients across the globe! #WeAreLilly

Responsibilities

Design, build, test and deploy high-performance and scalable data pipelines in AWS. Ensure comprehensive system testing and effective resolution of defects while participating in Agile framework ceremonies.